World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
9688
World Ranking
4887
National Ranking
104

Filippo Molinari publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Filippo Molinari sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 217 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Filippo Molinari D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Filippo Molinari sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Filippo Molinari is affiliated with the Polytechnic University of Turin in Italy. Their research is primarily situated within the field of medicine, with a focus on artificial intelligence applications. This includes subfields such as artificial intelligence, cardiology and cardiovascular medicine, biomedical engineering, radiology, nuclear medicine and imaging, and computer vision and pattern recognition.

The scientist has contributed extensively to topics including AI in cancer detection, radiomics and machine learning in medical imaging, non-invasive vital sign monitoring, medical imaging and analysis, cardiovascular health and disease prevention, EEG and brain-computer interfaces, and cell image analysis techniques.

Frequent publication venues for Filippo Molinari include:

  • Computers in Biology and Medicine
  • IEEE Access
  • Computer Methods and Programs in Biomedicine
  • International Journal of Imaging Systems and Technology
  • SSRN Electronic Journal

Their research collaborations involve several frequent co-authors, such as Massimo Salvi, U. Rajendra Acharya, Prabal Datta Barua, Kristen M. Meiburger, and Silvia Seoni.

Some recent publications authored or co-authored by Filippo Molinari are:

  • "Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011-2022)" (2022), published in Computer Methods and Programs in Biomedicine
  • "The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis" (2020), published in Computers in Biology and Medicine
  • "Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023)" (2023), published in Computers in Biology and Medicine
  • "Automated detection of ADHD: Current trends and future perspective" (2022), published in Computers in Biology and Medicine
  • "Application of photoplethysmography signals for healthcare systems: An in-depth review" (2022), published in Computer Methods and Programs in Biomedicine

Best Publications

  • Automated diagnosis of epileptic EEG using entropies

    U. Rajendra Acharya;Filippo Molinari;S. Vinitha Sree;Subhagata Chattopadhyay

  • Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals

    Nicola Michielli;U. Rajendra Acharya;Filippo Molinari

  • The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis.

    Massimo Salvi;U. Rajendra Acharya;Filippo Molinari;Kristen M. Meiburger

  • Review: A state of the art review on intima-media thickness (IMT) measurement and wall segmentation techniques for carotid ultrasound

    Filippo Molinari;Guang Zeng;Jasjit S. Suri

  • Muscle echo intensity: reliability and conditioning factors.

    Cristina Caresio;Filippo Molinari;Giorgio Emanuel;Marco Alessandro Minetto

  • Characterization of a Completely User-Independent Algorithm for Carotid Artery Segmentation in 2-D Ultrasound Images

    S. Delsanto;F. Molinari;P. Giustetto;W. Liboni

  • Cost-Effective and Non-Invasive Automated Benign & Malignant Thyroid Lesion Classification in 3D Contrast-Enhanced Ultrasound Using Combination of Wavelets and Textures: A Class of ThyroScan™ Algorithms

    U. R. Acharya;O. Faust;S. V. Sree;Filippo Molinari

  • ThyroScreen system: High resolution ultrasound thyroid image characterization into benign and malignant classes using novel combination of texture and discrete wavelet transform

    U. Rajendra Acharya;Oliver Faust;S Vinitha Sree;Filippo Molinari

  • Intima-media thickness: setting a standard for a completely automated method of ultrasound measurement

    Filippo Molinari;Guang Zeng;Jasjit S Suri

  • Non-invasive automated 3D thyroid lesion classification in ultrasound: A class of ThyroScan™ systems

    U. Rajendra Acharya;S. Vinitha Sree;M. Muthu Rama Krishnan;Filippo Molinari

  • Atherosclerotic risk stratification strategy for carotid arteries using texture-based features.

    U. Rajendra Acharya;S. Vinitha Sree;M. Muthu Rama Krishnan;Filippo Molinari

  • Completely Automated Multiresolution Edge Snapper—A New Technique for an Accurate Carotid Ultrasound IMT Measurement: Clinical Validation and Benchmarking on a Multi-Institutional Database

    F. Molinari;C. S. Pattichis;Guang Zeng;L. Saba

  • Symptomatic vs. Asymptomatic Plaque Classification in Carotid Ultrasound

    Rajendra U. Acharya;Oliver Faust;A. P. Alvin;S. Vinitha Sree

  • Automated localization and segmentation techniques for B-mode ultrasound images: A review.

    Kristen Mariko Meiburger;U. Rajendra Acharya;Filippo Molinari

  • Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method

    U. Rajendra Acharya;K. Sudarshan Vidya;Dhanjoo N. Ghista;Wei Jie Eugene Lim

  • Ultrasound-Based Detection of Low Muscle Mass for Diagnosis of Sarcopenia in Older Adults

    Marco Alessandro Minetto;Cristina Caresio;Tommaso Menapace;Arnel Hajdarevic

  • An integrated approach to computer-based automated tracing and its validation for 200 common carotid arterial wall ultrasound images: a new technique.

    Filippo Molinari;Guang Zeng;Jasjit S. Suri

  • Advances in Quantitative Muscle Ultrasonography Using Texture Analysis of Ultrasound Images

    Filippo Molinari;Cristina Caresio;Cristina Caresio;U. Rajendra Acharya;U. Rajendra Acharya;Muthu Rama Krishnan Mookiah

  • Application of wavelet techniques for cancer diagnosis using ultrasound images

    Vidya K Sudarshan;Muthu Rama Krishnan Mookiah;U Rajendra Acharya;Vinod Chandran

  • USE OF CROSS-TIME–FREQUENCY ESTIMATORS FOR STRUCTURAL IDENTIFICATION IN NON-STATIONARY CONDITIONS AND UNDER UNKNOWN EXCITATION

    P. Bonato;R. Ceravolo;A. De Stefano;F. Molinari

  • Atherosclerosis disease management

    Jasjit S Suri;Chirinjeev Kathuria;Filippo Molinari

Frequent Co-Authors

U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Jasjit S. Suri
Jasjit S. Suri University of Idaho
Andrew N. Nicolaides
Andrew N. Nicolaides Imperial College London
Paolo Bonato
Paolo Bonato Spaulding Rehabilitation Hospital
S. Vinitha Sree
S. Vinitha Sree Nanyang Technological University
Umberto Morbiducci
Umberto Morbiducci Polytechnic University of Turin
Oliver Faust
Oliver Faust Sheffield Hallam University
Mauro Papotti
Mauro Papotti University of Turin
Joel En Wei Koh
Joel En Wei Koh Ngee Ann Polytechnic
Hamido Fujita
Hamido Fujita University of Technology Malaysia

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